Auditing Artificial Intelligence 1st Edition

Auditing Artificial Intelligence, 1st Edition by Albert J. Marcella (CRC Press) is a timely, practical guide for auditors, risk managers, and leaders who must evaluate the integrity, reliability, and governance of AI systems. Combining audit principles with a clear understanding of machine learning operations, this book demystifies AI risks and provides actionable frameworks to assess controls across the AI lifecycle.

Key features:
– Comprehensive audit framework tailored to AI development, deployment, and monitoring.
– Risk-based methodologies for identifying bias, model drift, data quality issues, and security vulnerabilities.
– Practical control checklists and step-by-step procedures auditors can apply immediately.
– Governance and compliance guidance covering ethics, transparency, and regulatory considerations.
– Real-world examples and case studies that illustrate common pitfalls and remediation strategies.

Written in a professional, accessible tone, Marcella’s book bridges technical detail and audit best practices, helping professionals ensure AI systems perform as intended, remain compliant, and cultivate stakeholder trust. Essential reading for anyone charged with overseeing or auditing AI initiatives.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.